{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.mplot3d import axes3d\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "import sklearn as sk\n",
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 200 entries, 0 to 199\n",
      "Data columns (total 4 columns):\n",
      "TV           200 non-null float64\n",
      "radio        200 non-null float64\n",
      "newspaper    200 non-null float64\n",
      "sales        200 non-null float64\n",
      "dtypes: float64(4)\n",
      "memory usage: 6.3 KB\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TV</th>\n",
       "      <th>radio</th>\n",
       "      <th>newspaper</th>\n",
       "      <th>sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>230.1</td>\n",
       "      <td>37.8</td>\n",
       "      <td>69.2</td>\n",
       "      <td>22.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>44.5</td>\n",
       "      <td>39.3</td>\n",
       "      <td>45.1</td>\n",
       "      <td>10.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>17.2</td>\n",
       "      <td>45.9</td>\n",
       "      <td>69.3</td>\n",
       "      <td>9.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>151.5</td>\n",
       "      <td>41.3</td>\n",
       "      <td>58.5</td>\n",
       "      <td>18.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>180.8</td>\n",
       "      <td>10.8</td>\n",
       "      <td>58.4</td>\n",
       "      <td>12.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      TV  radio  newspaper  sales\n",
       "0  230.1   37.8       69.2   22.1\n",
       "1   44.5   39.3       45.1   10.4\n",
       "2   17.2   45.9       69.3    9.3\n",
       "3  151.5   41.3       58.5   18.5\n",
       "4  180.8   10.8       58.4   12.9"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load data\n",
    "\n",
    "advertising = pd.read_csv('./data/Advertising.csv', usecols=[1,2,3,4])\n",
    "advertising.info()\n",
    "advertising.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x27d9d43db38>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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KHf9TLc91Kdfu9t1DdLd5GI+aaEAZgA2TcZPPNtDjPdevnctTN6MPXTbhhKan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\nsCRVYgOWpEr+C/VNCM/4CkCCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x27d9d43dbe0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot('TV', 'sales', data = advertising)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "beta1: 0.04753664043301969, beta0: 7.032593549127705\n",
      "rss: 2.102530583131352\n"
     ]
    }
   ],
   "source": [
    "tv = advertising.TV\n",
    "sales = advertising.sales\n",
    "\n",
    "beta1 = ((tv - tv.mean()) * (sales - sales.mean())).sum() / ((tv - tv.mean()) ** 2).sum()\n",
    "beta0 = sales.mean() - beta1 * tv.mean()\n",
    "\n",
    "rss = np.sum((beta0 + beta1 * tv - sales) ** 2) / 1000\n",
    "\n",
    "print(f'beta1: {beta1}, beta0: {beta0}')\n",
    "print(f'rss: {rss}')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "min rss: 2.102632807238421\n",
      "min_beta0: 7.020202020202021, min_beta1: 0.04772727272727273\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<mpl_toolkits.mplot3d.art3d.Path3DCollection at 0x27da1b63e80>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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KZCLJVO8swx+PMvRolI9+/xM++v1PsBfaCLT4CLSWUHLFi1FGYhybwWDQ5h9u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yNcLow167HddCPm979/VtudjkjcxW92dnCoa4w0s5HLN+dz+eZVLFkgYfSekbCT6UtNBL0hVtYs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56hrKyMuXPnkpuby4oVK9Dr9Wf8OjU3N9PQ0MDcuXO9vp+wv7+fsrIyUlJSiIyMnPbH9/f3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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x27da1fcf7b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot contour and 3d plots of rss\n",
    "    \n",
    "beta0 = np.linspace(5, 9, 100)\n",
    "beta1 = np.linspace(0.025, 0.07, 100)\n",
    "\n",
    "beta0, beta1 = np.meshgrid(beta0, beta1, indexing='xy')\n",
    "\n",
    "rss = np.zeros_like(beta0)\n",
    "for i in range(tv.size):\n",
    "    rss += (beta0 + beta1 * tv[i] - sales[i]) ** 2 / 1000\n",
    "    \n",
    "min_rss = rss.min()\n",
    "min_arg = np.unravel_index(rss.argmin(), rss.shape)\n",
    "min_beta0, min_beta1 = beta0[min_arg], beta1[min_arg]\n",
    "print(f'min rss: {min_rss}')\n",
    "print(f'min_beta0: {min_beta0}, min_beta1: {min_beta1}')\n",
    "    \n",
    "fig = plt.figure(figsize=(15, 6))\n",
    "ax1 = fig.add_subplot(121)\n",
    "ax2 = fig.add_subplot(122, projection='3d')\n",
    "\n",
    "ax1.contour(beta0, beta1, rss, cmap=plt.cm.Set1, levels=[2.15, 2.2, 2.3, 2.5, 3])\n",
    "ax1.scatter(min_beta0, min_beta1, c='r')\n",
    "ax1.set_xlabel(r'$\\beta_{0}$')\n",
    "ax1.set_ylabel(r'$\\beta_{1}$')\n",
    "\n",
    "ax2.plot_surface(beta0, beta1, rss, rstride=3, alpha=0.3)\n",
    "ax2.contour(beta0, beta1, rss, zdir='z', offset=rss.min(), alpha=0.4,\n",
    "            cmap=plt.cm.Set1, levels=[2.15, 2.2, 2.3, 2.5, 3])\n",
    "ax2.scatter3D(min_beta0, min_beta1, min_rss, c='r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x27da1a12c88>]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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XL6+Wuv67f2BiYoLLly8DCgVCFizAk5kz0eRFHKzRGOO0J+Bg0S5ISC+OklqJ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\nR2kDoJRSPur/AyW2DXKePvrcAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x27da180fd30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Assessing the accuracy of the coefficient estimates\n",
    "size = 100\n",
    "X = np.random.uniform(-2, 2, (size, 1))\n",
    "y_acc = 2 + 3 * X\n",
    "y = y_acc + np.random.normal(0, 3, (size, 1))\n",
    "\n",
    "\n",
    "regr = LinearRegression()\n",
    "regr.fit(X, y)\n",
    "\n",
    "plt.xlim(-2.1, 2.1)\n",
    "plt.scatter(X, y, facecolors='none', edgecolor='black')\n",
    "\n",
    "X = np.linspace(-2.1, 2.1, 100)\n",
    "y_acc = 2 + 3 * X\n",
    "y_pred = regr.predict(X[:, np.newaxis])\n",
    "plt.plot(X, y_acc, c='r')\n",
    "plt.plot(X, y_pred, c='b')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Qszq3MKHQK6vzzwj5cMW8Bci3fcm+y9atZsbo44+z4fQz+eNRz/LQ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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x27da1a2e630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "size = 100\n",
    "X = np.linspace(-2.1, 2.1, 100)\n",
    "y = 2 + 3 * X\n",
    "\n",
    "plt.xlim(-2.1, 2.1)\n",
    "plt.plot(X, y, c='r')\n",
    "\n",
    "X = np.random.uniform(-2, 2, (size, 1))\n",
    "y = 2 + 3 * X + np.random.normal(0, 3, (size, 1))\n",
    "\n",
    "for size in np.arange(10, 101, 10):\n",
    "    regr.fit(X[:size, :], y[:size])\n",
    "    X_pred = np.linspace(-2.1, 2.1, 100)\n",
    "    y_pred = regr.predict(X_pred[:, np.newaxis])\n",
    "    plt.plot(X_pred, y_pred, c = 'b' if size == 100 else 'lightblue')\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "estimate beta0: 2.0382418160677376, estimate beta1: 2.9831934348494213\n",
      "estimate σ2: 0.8662012483382867\n",
      "beta0 is 95% in [1.8648955182734437, 2.2115881138620312]\n",
      "beta1 is 95% in [2.8342745076162621, 3.1321123620825806]\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "Y = 2 + 3X + e\n",
    "suppose that we are interested in knowing\n",
    "the population mean μ of some random variable Y.\n",
    "\n",
    "Unfortunately, μ is unknown, but we do have access\n",
    "to n observations from Y , which we can\n",
    "write as y1,...,yn, and which we can use to estimate μ.\n",
    "\n",
    "A reasonable estimate is ˆμ = ¯y, where ¯y is the sample mean.\n",
    "This estimate is unbiased.\n",
    "\n",
    "That sample mean is not population mean, but in general\n",
    "the sample mean can will provide a good esimate of\n",
    "the population mean.\n",
    "\n",
    "It is same to the unknown coefficients β0 and β1 in linear regression.\n",
    "We seek to estimate these unknown coefficients using βˆ0 and βˆ1 given in (3.4).\n",
    "\n",
    "Also the standard error of ˆμ can analogy to standard error βˆ0 and βˆ1.\n",
    "'''\n",
    "\n",
    "n = 100\n",
    "\n",
    "X = np.random.uniform(-2, 2, (n, 1))\n",
    "y_acc = 2 + 3 * X\n",
    "y = y_acc + np.random.normal(0, 1, (n, 1))\n",
    "\n",
    "regr.fit(X, y)\n",
    "\n",
    "beta0 = regr.intercept_[0]\n",
    "beta1 = regr.coef_[0][0]\n",
    "\n",
    "rss = np.sum((beta0 + beta1 * X - y) ** 2)\n",
    "rse = np.sqrt(rss / (n - 2))\n",
    "\n",
    "seb0 = rse * np.sqrt(1 / n + X.mean() ** 2 /  np.sum((X - X.mean()) ** 2))\n",
    "seb1 = rse / np.sqrt(np.sum((X - X.mean()) ** 2))\n",
    "\n",
    "print(f'estimate beta0: {beta0}, estimate beta1: {beta1}')\n",
    "print(f'estimate σ2: {rse}')\n",
    "print(f'beta0 is 95% in {[beta0 - 2 * seb0, beta0 + 2 * seb0]}')\n",
    "print(f'beta1 is 95% in {[beta1 - 2 * seb1, beta1 + 2 * seb1]}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "estimate beta0: 7.032593549127693, estimate beta1: 0.047536640433019764\n",
      "estimate σ2: 3.258656368650462\n",
      "beta0 is 95% in [6.1352213861916756, 7.9299657120637104]\n",
      "beta1 is 95% in [0.042263050344937901, 0.052810230521101627]\n",
      "t-statistic: 15.36027517411755\n",
      "t-statistic: 17.667625600875564\n",
      "Ttest_indResult(statistic=nan, pvalue=nan)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\dev\\Anaconda3\\lib\\site-packages\\numpy\\core\\fromnumeric.py:3146: RuntimeWarning: Degrees of freedom <= 0 for slice\n",
      "  **kwargs)\n",
      "C:\\Users\\dev\\Anaconda3\\lib\\site-packages\\numpy\\core\\_methods.py:127: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "C:\\Users\\dev\\Anaconda3\\lib\\site-packages\\scipy\\stats\\_distn_infrastructure.py:879: RuntimeWarning: invalid value encountered in greater\n",
      "  return (self.a < x) & (x < self.b)\n",
      "C:\\Users\\dev\\Anaconda3\\lib\\site-packages\\scipy\\stats\\_distn_infrastructure.py:879: RuntimeWarning: invalid value encountered in less\n",
      "  return (self.a < x) & (x < self.b)\n",
      "C:\\Users\\dev\\Anaconda3\\lib\\site-packages\\scipy\\stats\\_distn_infrastructure.py:1818: RuntimeWarning: invalid value encountered in less_equal\n",
      "  cond2 = cond0 & (x <= self.a)\n"
     ]
    }
   ],
   "source": [
    "X = tv\n",
    "y = sales\n",
    "n = y.size\n",
    "\n",
    "regr.fit(X[:, np.newaxis], y)\n",
    "\n",
    "beta0 = regr.intercept_\n",
    "beta1 = regr.coef_[0]\n",
    "\n",
    "rss = np.sum((beta0 + beta1 * X - y) ** 2)\n",
    "rse = np.sqrt(rss / (n - 2))\n",
    "\n",
    "\n",
    "seb0 = rse * np.sqrt(1 / n + X.mean() ** 2 /  np.sum((X - X.mean()) ** 2))\n",
    "seb1 = rse / np.sqrt(np.sum((X - X.mean()) ** 2))\n",
    "\n",
    "print(f'estimate beta0: {beta0}, estimate beta1: {beta1}')\n",
    "print(f'estimate σ2: {rse}')\n",
    "print(f'beta0 is 95% in {[beta0 - 1.96 * seb0, beta0 + 1.96 * seb0]}')\n",
    "print(f'beta1 is 95% in {[beta1 - 1.96 * seb1, beta1 + 1.96 * seb1]}')\n",
    "\n",
    "print(f't-statistic: {(beta0 - 0) / seb0}')\n",
    "print(f't-statistic: {(beta1 - 0) / seb1}')\n",
    "\n",
    "from scipy.stats import ttest_ind as ttest\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>          <td>sales</td>      <th>  R-squared:         </th> <td>   0.612</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.610</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   312.1</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Sun, 11 Feb 2018</td> <th>  Prob (F-statistic):</th> <td>1.47e-42</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>11:03:57</td>     <th>  Log-Likelihood:    </th> <td> -519.05</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>   200</td>      <th>  AIC:               </th> <td>   1042.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>   198</td>      <th>  BIC:               </th> <td>   1049.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th> <td>    7.0326</td> <td>    0.458</td> <td>   15.360</td> <td> 0.000</td> <td>    6.130</td> <td>    7.935</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>TV</th>        <td>    0.0475</td> <td>    0.003</td> <td>   17.668</td> <td> 0.000</td> <td>    0.042</td> <td>    0.053</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td> 0.531</td> <th>  Durbin-Watson:     </th> <td>   1.935</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.767</td> <th>  Jarque-Bera (JB):  </th> <td>   0.669</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td>-0.089</td> <th>  Prob(JB):          </th> <td>   0.716</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 2.779</td> <th>  Cond. No.          </th> <td>    338.</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                  sales   R-squared:                       0.612\n",
       "Model:                            OLS   Adj. R-squared:                  0.610\n",
       "Method:                 Least Squares   F-statistic:                     312.1\n",
       "Date:                Sun, 11 Feb 2018   Prob (F-statistic):           1.47e-42\n",
       "Time:                        11:03:57   Log-Likelihood:                -519.05\n",
       "No. Observations:                 200   AIC:                             1042.\n",
       "Df Residuals:                     198   BIC:                             1049.\n",
       "Df Model:                           1                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "Intercept      7.0326      0.458     15.360      0.000       6.130       7.935\n",
       "TV             0.0475      0.003     17.668      0.000       0.042       0.053\n",
       "==============================================================================\n",
       "Omnibus:                        0.531   Durbin-Watson:                   1.935\n",
       "Prob(Omnibus):                  0.767   Jarque-Bera (JB):                0.669\n",
       "Skew:                          -0.089   Prob(JB):                        0.716\n",
       "Kurtosis:                       2.779   Cond. No.                         338.\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "# hypothesis tests\n",
    "null hypothesis: H0: There is no relationship between X and Y (beta1 = 0)\n",
    "alternative hypothesis: Ha: There is some relationship between X and Y (beta1 != 0) \n",
    "\n",
    "# t-statistic: t = (beta1 - 0) / seb1\n",
    "'''\n",
    "\n",
    "import statsmodels.api as sm\n",
    "import statsmodels.formula.api as smf\n",
    "\n",
    "est = smf.ols('sales ~ TV', advertising).fit()\n",
    "est.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>          <td>sales</td>      <th>  R-squared:         </th> <td>   0.052</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.047</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   10.89</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Sun, 11 Feb 2018</td> <th>  Prob (F-statistic):</th>  <td>0.00115</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>11:03:57</td>     <th>  Log-Likelihood:    </th> <td> -608.34</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>   200</td>      <th>  AIC:               </th> <td>   1221.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>   198</td>      <th>  BIC:               </th> <td>   1227.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th> <td>   12.3514</td> <td>    0.621</td> <td>   19.876</td> <td> 0.000</td> <td>   11.126</td> <td>   13.577</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>newspaper</th> <td>    0.0547</td> <td>    0.017</td> <td>    3.300</td> <td> 0.001</td> <td>    0.022</td> <td>    0.087</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td> 6.231</td> <th>  Durbin-Watson:     </th> <td>   1.983</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.044</td> <th>  Jarque-Bera (JB):  </th> <td>   5.483</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td> 0.330</td> <th>  Prob(JB):          </th> <td>  0.0645</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 2.527</td> <th>  Cond. No.          </th> <td>    64.7</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                  sales   R-squared:                       0.052\n",
       "Model:                            OLS   Adj. R-squared:                  0.047\n",
       "Method:                 Least Squares   F-statistic:                     10.89\n",
       "Date:                Sun, 11 Feb 2018   Prob (F-statistic):            0.00115\n",
       "Time:                        11:03:57   Log-Likelihood:                -608.34\n",
       "No. Observations:                 200   AIC:                             1221.\n",
       "Df Residuals:                     198   BIC:                             1227.\n",
       "Df Model:                           1                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "Intercept     12.3514      0.621     19.876      0.000      11.126      13.577\n",
       "newspaper      0.0547      0.017      3.300      0.001       0.022       0.087\n",
       "==============================================================================\n",
       "Omnibus:                        6.231   Durbin-Watson:                   1.983\n",
       "Prob(Omnibus):                  0.044   Jarque-Bera (JB):                5.483\n",
       "Skew:                           0.330   Prob(JB):                       0.0645\n",
       "Kurtosis:                       2.527   Cond. No.                         64.7\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "est = smf.ols('sales ~ newspaper', advertising).fit()\n",
    "est.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>          <td>sales</td>      <th>  R-squared:         </th> <td>   0.332</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.329</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   98.42</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Sun, 11 Feb 2018</td> <th>  Prob (F-statistic):</th> <td>4.35e-19</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>11:03:57</td>     <th>  Log-Likelihood:    </th> <td> -573.34</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>   200</td>      <th>  AIC:               </th> <td>   1151.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>   198</td>      <th>  BIC:               </th> <td>   1157.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th> <td>    9.3116</td> <td>    0.563</td> <td>   16.542</td> <td> 0.000</td> <td>    8.202</td> <td>   10.422</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>radio</th>     <td>    0.2025</td> <td>    0.020</td> <td>    9.921</td> <td> 0.000</td> <td>    0.162</td> <td>    0.243</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>19.358</td> <th>  Durbin-Watson:     </th> <td>   1.946</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.000</td> <th>  Jarque-Bera (JB):  </th> <td>  21.910</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td>-0.764</td> <th>  Prob(JB):          </th> <td>1.75e-05</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 3.544</td> <th>  Cond. No.          </th> <td>    51.4</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                  sales   R-squared:                       0.332\n",
       "Model:                            OLS   Adj. R-squared:                  0.329\n",
       "Method:                 Least Squares   F-statistic:                     98.42\n",
       "Date:                Sun, 11 Feb 2018   Prob (F-statistic):           4.35e-19\n",
       "Time:                        11:03:57   Log-Likelihood:                -573.34\n",
       "No. Observations:                 200   AIC:                             1151.\n",
       "Df Residuals:                     198   BIC:                             1157.\n",
       "Df Model:                           1                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "Intercept      9.3116      0.563     16.542      0.000       8.202      10.422\n",
       "radio          0.2025      0.020      9.921      0.000       0.162       0.243\n",
       "==============================================================================\n",
       "Omnibus:                       19.358   Durbin-Watson:                   1.946\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               21.910\n",
       "Skew:                          -0.764   Prob(JB):                     1.75e-05\n",
       "Kurtosis:                       3.544   Cond. No.                         51.4\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "est = smf.ols('sales ~ radio', advertising).fit()\n",
    "est.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>          <td>sales</td>      <th>  R-squared:         </th> <td>   0.897</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.896</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   570.3</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Sun, 11 Feb 2018</td> <th>  Prob (F-statistic):</th> <td>1.58e-96</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>11:03:57</td>     <th>  Log-Likelihood:    </th> <td> -386.18</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>   200</td>      <th>  AIC:               </th> <td>   780.4</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>   196</td>      <th>  BIC:               </th> <td>   793.6</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     3</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th> <td>    2.9389</td> <td>    0.312</td> <td>    9.422</td> <td> 0.000</td> <td>    2.324</td> <td>    3.554</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>TV</th>        <td>    0.0458</td> <td>    0.001</td> <td>   32.809</td> <td> 0.000</td> <td>    0.043</td> <td>    0.049</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>radio</th>     <td>    0.1885</td> <td>    0.009</td> <td>   21.893</td> <td> 0.000</td> <td>    0.172</td> <td>    0.206</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>newspaper</th> <td>   -0.0010</td> <td>    0.006</td> <td>   -0.177</td> <td> 0.860</td> <td>   -0.013</td> <td>    0.011</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>60.414</td> <th>  Durbin-Watson:     </th> <td>   2.084</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.000</td> <th>  Jarque-Bera (JB):  </th> <td> 151.241</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td>-1.327</td> <th>  Prob(JB):          </th> <td>1.44e-33</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 6.332</td> <th>  Cond. No.          </th> <td>    454.</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                  sales   R-squared:                       0.897\n",
       "Model:                            OLS   Adj. R-squared:                  0.896\n",
       "Method:                 Least Squares   F-statistic:                     570.3\n",
       "Date:                Sun, 11 Feb 2018   Prob (F-statistic):           1.58e-96\n",
       "Time:                        11:03:57   Log-Likelihood:                -386.18\n",
       "No. Observations:                 200   AIC:                             780.4\n",
       "Df Residuals:                     196   BIC:                             793.6\n",
       "Df Model:                           3                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "Intercept      2.9389      0.312      9.422      0.000       2.324       3.554\n",
       "TV             0.0458      0.001     32.809      0.000       0.043       0.049\n",
       "radio          0.1885      0.009     21.893      0.000       0.172       0.206\n",
       "newspaper     -0.0010      0.006     -0.177      0.860      -0.013       0.011\n",
       "==============================================================================\n",
       "Omnibus:                       60.414   Durbin-Watson:                   2.084\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              151.241\n",
       "Skew:                          -1.327   Prob(JB):                     1.44e-33\n",
       "Kurtosis:                       6.332   Cond. No.                         454.\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "est = smf.ols('sales ~ TV + radio + newspaper', advertising).fit()\n",
    "est.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TV</th>\n",
       "      <th>radio</th>\n",
       "      <th>newspaper</th>\n",
       "      <th>sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>TV</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.054809</td>\n",
       "      <td>0.056648</td>\n",
       "      <td>0.782224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>radio</th>\n",
       "      <td>0.054809</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.354104</td>\n",
       "      <td>0.576223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>newspaper</th>\n",
       "      <td>0.056648</td>\n",
       "      <td>0.354104</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.228299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sales</th>\n",
       "      <td>0.782224</td>\n",
       "      <td>0.576223</td>\n",
       "      <td>0.228299</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 TV     radio  newspaper     sales\n",
       "TV         1.000000  0.054809   0.056648  0.782224\n",
       "radio      0.054809  1.000000   0.354104  0.576223\n",
       "newspaper  0.056648  0.354104   1.000000  0.228299\n",
       "sales      0.782224  0.576223   0.228299  1.000000"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "advertising.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\n# Assessing the accuracy of the model\\n\\nThe quality of a linear regression fit is\\nassessed using two related quantities: the residual standard error (rse)\\nand the R^2 statistic.\\n'"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "# Assessing the accuracy of the model\n",
    "\n",
    "The quality of a linear regression fit is\n",
    "assessed using two related quantities: the residual standard error (rse)\n",
    "and the R^2 statistic.\n",
    "'''\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Income</th>\n",
       "      <th>Limit</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Cards</th>\n",
       "      <th>Age</th>\n",
       "      <th>Education</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Student</th>\n",
       "      <th>Married</th>\n",
       "      <th>Ethnicity</th>\n",
       "      <th>Balance</th>\n",
       "      <th>Student2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>14.891</td>\n",
       "      <td>3606</td>\n",
       "      <td>283</td>\n",
       "      <td>2</td>\n",
       "      <td>34</td>\n",
       "      <td>11</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>333</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>106.025</td>\n",
       "      <td>6645</td>\n",
       "      <td>483</td>\n",
       "      <td>3</td>\n",
       "      <td>82</td>\n",
       "      <td>15</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Asian</td>\n",
       "      <td>903</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>104.593</td>\n",
       "      <td>7075</td>\n",
       "      <td>514</td>\n",
       "      <td>4</td>\n",
       "      <td>71</td>\n",
       "      <td>11</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Asian</td>\n",
       "      <td>580</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>148.924</td>\n",
       "      <td>9504</td>\n",
       "      <td>681</td>\n",
       "      <td>3</td>\n",
       "      <td>36</td>\n",
       "      <td>11</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Asian</td>\n",
       "      <td>964</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>55.882</td>\n",
       "      <td>4897</td>\n",
       "      <td>357</td>\n",
       "      <td>2</td>\n",
       "      <td>68</td>\n",
       "      <td>16</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>331</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Income  Limit  Rating  Cards  Age  Education  Gender Student Married  \\\n",
       "0   14.891   3606     283      2   34         11    Male      No     Yes   \n",
       "1  106.025   6645     483      3   82         15  Female     Yes     Yes   \n",
       "2  104.593   7075     514      4   71         11    Male      No      No   \n",
       "3  148.924   9504     681      3   36         11  Female      No      No   \n",
       "4   55.882   4897     357      2   68         16    Male      No     Yes   \n",
       "\n",
       "   Ethnicity  Balance  Student2  \n",
       "0  Caucasian      333         0  \n",
       "1      Asian      903         1  \n",
       "2      Asian      580         0  \n",
       "3      Asian      964         0  \n",
       "4  Caucasian      331         0  "
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Qualittive regression\n",
    "\n",
    "credit = pd.read_csv('./data/Credit.csv').drop(['Unnamed: 0'], axis=1)\n",
    "credit['Student2'] = credit.Student.map({'No':0, 'Yes':1})\n",
    "credit.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x27da4a54da0>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VJl3ZXm+22sxmbiAqH0FgGdW9y3S8aVPfJ9/7Iu7c9hYWXT4Wq6+dqBsvO98+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X6i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1QNkK/sFNRwjzRM7baFvn3YhQbgXinlTwF4K4DfEkK8CcADAP5aSvkvAPx17XPTRLmpcdBX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\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qI0yd9VBv/TXGHG2v31CxqS3drkOP9lxxpGmLXQuVT9QsntXKZ7i0kkDJNGFasWPRQIIB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\nEG4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b2uAJhHHobLc64CPzpGm3wRrls1NysPWtcuH1pq9j/Q8modsfgi8U1q0UOPDodKxZ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\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Hd4FXFeK1cgRHH5uDUz0BPPLKYbx3oltxuuw4eDqufkm69Z0yqWGWIwr+KVeI+lWjZywD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\nXkQXAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x27da4adf4a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(credit[['Balance','Age','Cards','Education','Income','Limit','Rating']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "          <td></td>            <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th>        <td>  509.8031</td> <td>   33.128</td> <td>   15.389</td> <td> 0.000</td> <td>  444.675</td> <td>  574.931</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Gender[T.Female]</th> <td>   19.7331</td> <td>   46.051</td> <td>    0.429</td> <td> 0.669</td> <td>  -70.801</td> <td>  110.267</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.table.SimpleTable'>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "est = smf.ols('Balance ~ Gender', credit).fit()\n",
    "est.summary().tables[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "             <td></td>               <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th>              <td>  531.0000</td> <td>   46.319</td> <td>   11.464</td> <td> 0.000</td> <td>  439.939</td> <td>  622.061</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Ethnicity[T.Asian]</th>     <td>  -18.6863</td> <td>   65.021</td> <td>   -0.287</td> <td> 0.774</td> <td> -146.515</td> <td>  109.142</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Ethnicity[T.Caucasian]</th> <td>  -12.5025</td> <td>   56.681</td> <td>   -0.221</td> <td> 0.826</td> <td> -123.935</td> <td>   98.930</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.table.SimpleTable'>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "est = smf.ols('Balance ~ Ethnicity', credit).fit()\n",
    "est.summary().tables[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "         <td></td>           <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th>      <td>  211.1430</td> <td>   32.457</td> <td>    6.505</td> <td> 0.000</td> <td>  147.333</td> <td>  274.952</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Student[T.Yes]</th> <td>  382.6705</td> <td>   65.311</td> <td>    5.859</td> <td> 0.000</td> <td>  254.272</td> <td>  511.069</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Income</th>         <td>    5.9843</td> <td>    0.557</td> <td>   10.751</td> <td> 0.000</td> <td>    4.890</td> <td>    7.079</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.table.SimpleTable'>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "est = smf.ols('Balance ~ Income + Student', credit).fit()\n",
    "est.summary().tables[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>          <td>sales</td>      <th>  R-squared:         </th> <td>   0.968</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.967</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   1963.</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Sun, 11 Feb 2018</td> <th>  Prob (F-statistic):</th> <td>6.68e-146</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>15:16:37</td>     <th>  Log-Likelihood:    </th> <td> -270.14</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>   200</td>      <th>  AIC:               </th> <td>   548.3</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>   196</td>      <th>  BIC:               </th> <td>   561.5</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     3</td>      <th>                     </th>     <td> </td>    \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th> <td>    6.7502</td> <td>    0.248</td> <td>   27.233</td> <td> 0.000</td> <td>    6.261</td> <td>    7.239</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>TV</th>        <td>    0.0191</td> <td>    0.002</td> <td>   12.699</td> <td> 0.000</td> <td>    0.016</td> <td>    0.022</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>radio</th>     <td>    0.0289</td> <td>    0.009</td> <td>    3.241</td> <td> 0.001</td> <td>    0.011</td> <td>    0.046</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>TV:radio</th>  <td>    0.0011</td> <td> 5.24e-05</td> <td>   20.727</td> <td> 0.000</td> <td>    0.001</td> <td>    0.001</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>128.132</td> <th>  Durbin-Watson:     </th> <td>   2.224</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td>1183.719</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td>-2.323</td>  <th>  Prob(JB):          </th> <td>9.09e-258</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td>13.975</td>  <th>  Cond. No.          </th> <td>1.80e+04</td> \n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                  sales   R-squared:                       0.968\n",
       "Model:                            OLS   Adj. R-squared:                  0.967\n",
       "Method:                 Least Squares   F-statistic:                     1963.\n",
       "Date:                Sun, 11 Feb 2018   Prob (F-statistic):          6.68e-146\n",
       "Time:                        15:16:37   Log-Likelihood:                -270.14\n",
       "No. Observations:                 200   AIC:                             548.3\n",
       "Df Residuals:                     196   BIC:                             561.5\n",
       "Df Model:                           3                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "Intercept      6.7502      0.248     27.233      0.000       6.261       7.239\n",
       "TV             0.0191      0.002     12.699      0.000       0.016       0.022\n",
       "radio          0.0289      0.009      3.241      0.001       0.011       0.046\n",
       "TV:radio       0.0011   5.24e-05     20.727      0.000       0.001       0.001\n",
       "==============================================================================\n",
       "Omnibus:                      128.132   Durbin-Watson:                   2.224\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             1183.719\n",
       "Skew:                          -2.323   Prob(JB):                    9.09e-258\n",
       "Kurtosis:                      13.975   Cond. No.                     1.80e+04\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "[2] The condition number is large, 1.8e+04. This might indicate that there are\n",
       "strong multicollinearity or other numerical problems.\n",
       "\"\"\""
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# remove the additive assumption\n",
    "\n",
    "est = smf.ols('sales ~ TV + radio + TV*radio ', advertising).fit()\n",
    "est.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Regression 1 - without interaction term\n",
      "Intercept    211.142964\n",
      "Income         5.984336\n",
      "Student2     382.670539\n",
      "dtype: float64\n",
      "\n",
      "Regression 2 - with interaction term\n",
      "Intercept          200.623153\n",
      "Income               6.218169\n",
      "Student2           476.675843\n",
      "Income:Student2     -1.999151\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "est1 = smf.ols('Balance ~ Income + Student2', credit).fit()\n",
    "regr1 = est1.params\n",
    "est2 = smf.ols('Balance ~ Income + Income*Student2', credit).fit()\n",
    "regr2 = est2.params\n",
    "\n",
    "print('Regression 1 - without interaction term')\n",
    "print(regr1)\n",
    "print('\\nRegression 2 - with interaction term')\n",
    "print(regr2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
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3Jjw8nNu0H19ELmbbNtfyLzLSfd66teuvfffd3saVj6SkpDBkyBBGjhzJdddd\nx+LFi2nVqpXXYV0RbS8RuRwpKW5aWM2aEBPjVrrXrVPB7efOnDnDgAEDCAoK4uuvv2bu3LmsWrVK\nBbeI/K+0NFi0CO65x00XjopyhfbXX8P8+Sq4c9CWLVu48847GTZsGE899RQHDhzw24IbtNItknXr\n1kHXrhAfD+3buwMyN9zgdVSSTVFRUXTv3p3ExEQ6d+7MqFGjKKP9+CLye6dOuYWWiRPhv/91+7Mn\nToSOHaFkSa+jy1eSk5N55ZVXmDhxIuXLlycqKoqHH37Y67CyTUW3yKWcPAkvvACzZrkku2oVNGni\ndVSSTUePHqVPnz7Mnz+fKlWqsH79eho2bOh1WCKS13z9tSuuIyLcQcl773WHIh99FAoV8jq6fGfN\nmjV06dKFhIQEevTowYgRIyiZT36o0fYSkYuxFubMcVtH3nsPBg6E/ftVcPu5jIwMpk+fTpUqVXj/\n/fcZPHgw0dHRKrhF5P9Y687sPP64mxA5eTI0bw47d7oe2y1aqODOYUlJSXTp0oWHHnqIwoULs2HD\nBiZPnpxvCm7QSrfIhcXHu57ba9a4U+hTp0JgoNdRSTbFxsYSHBzMxo0badSoEVOnTuWOO+7wOiwR\nySvOnnWHIseOdQX2tde6DlW9esEtt3gdXb61bNkyunXrxpEjR+jfvz+DBw/mmmuu8TqsHKeVbpHz\npabC0KGuwN6xA95+2612qOD2aykpKQwaNIiaNWsSExNDREQE69atU8EtIs4PP8DIkW4LYbt2bv/2\n5Mnw7bcwfLgKbh85fvw47dq1o3nz5pQtW5Zt27YxcuTIfFlwgw+LbmNMhDHmmDFm/3nXyhhjPjbG\nxGf+fm3mdWOMmWiM+dIY87kxpvZ5z3km8/HxxphnfBWvCJs2Qe3a8Oqrbq9ebKxb7b5KP5v6s3Xr\n1lGzZk2GDBnCE088QVxcHM8++yzGGK9Dy3OUt6XAiY93q9jlyrk5C5Urw4cfQlwc9OgBf/qT1xHm\nS9Za5s+fT0BAAJGRkYSGhrJz507q1KnjdWg+5ctqYhbwyO+uvQSssdZWBtZkfg7QFKic+SsYCAeX\n7IHXgbuBu4DXf034IjkmKcl1JWnQwB2SWbbMtYO6+WavI5NsOHnyJM8++ywPPPAAaWlprF69mvfe\ne48b1HHmj8xCeVvyO2vh00/hscfgjjtg2jRo0wb27IG1a92iixZbfObw4cO0aNGCtm3bUqlSJXbv\n3s2gQYMoUqSI16H5nM/+VVlrNwDf/+7yY8C7mR+/C7Q47/ps62wFShtjbgIeBj621n5vrf0B+Jj/\n/YYgcmWshYULoWpVN7a9b1+7KsGsAAAgAElEQVTXe7tZM68jk2yw1jJ79myqVKnCe++9x8CBA9m/\nfz+NGzf2OrQ8T3lb8rXUVJg9293RvP9+2LzZ3dn85hvXnapWLa8jzNestcycOZOAgABWr17NmDFj\n2LJlC9WrV/c6tFyT2wcpb7TWfgdgrf3OGPPrktMtwLfnPe5g5rWLXRfJnsRE6NkTVqxwCfijjyAo\nyOuoJJvi4+Pp3r07a9asoX79+kydOpVA7cfPLp/lbWNMMG6VnAoVKuRw2CKZTpxwh+EnT4bvvoOA\nALe63aED5NO9w3lNQkICwcHBfPLJJzRq1IgZM2Zw++23ex1Wrssr908utLnS/sH1/30BY4KNMTuN\nMTuPHz+eo8FJPpKWBmPGQLVqsH69O6G+bZsKbj+XmprK0KFDCQwMZMeOHbz99tts3LhRBbdvZTtv\nW2unWWvrWGvrXH/99TkanAhxcdCtG5Qv71a0a9Rw0yP374cuXVRw54L09HQmTpxI9erV2bZtG+Hh\n4axdu7ZAFtyQ+yvdR40xN2WultwEHMu8fhAof97jygGHM6/f97vrn17oha2104BpAHXq1LlggpcC\nbscOCA6G6Gi3Zy8sDLS65vc2bdpEcHAwBw4coE2bNowfP56btR8/J/ksb4vkOGvhk09g3DhYuRKK\nFoWnnoI+fdxii+SauLg4OnfuzObNm2natClTp06lfPnyl35iPpbbK90fAr+eZH8GWHre9aczT8PX\nA05l3s5cBTQxxlybeRCnSeY1kaw7fRpCQqBePTh61PVgXbpUBbefS0pKolu3bjRo0ICffvqJZcuW\nsXDhQhXcOU95W/K+lBQ3MbJmTTfAbPdueOMN1/Jv+nQV3Lno7NmzDB8+nFq1ahEXF8ecOXNYvnx5\ngS+4wYcr3caYebjVjuuMMQdxp9lHAAuNMZ2Bb4A2mQ9fAfw/4EvgDPAsgLX2e2PMEGBH5uPesNb+\n/pCPyMUtXeraQR065Nr/DRsGpUp5HZVkg7WWhQsXEhISwvHjx+nbty9vvPEGJUqU8Do0v6e8LX7n\n2DEID3czFY4dc1tI3nkH2rZ1q9ySq6Kjo+nUqRN79uyhdevWhIWFceONN3odVp7hs6LbWtv2Il96\n8AKPtUDPi7xOBBCRg6FJQXDoEPzrX/D++26wzaJFbqVb/FpiYiI9e/ZkxYoVBAUFsWLFCmrXrn3p\nJ0qWKG+L39i/H8aPh/feg19+gX/8w3WgeuABUA/+XPfLL78wZMgQRo4cyXXXXcfixYtp1aqV12Hl\nORoDL/lLerpb9Xj5ZXdocsQI6NcPrr7a68gkG9LS0pgwYQKDBg3CGMO4cePo1asXhQsrhYkUGBkZ\nsGqV26/98cfuIGSnTm77oKbLembLli107tyZ2NhYOnbsyNixY7n2WrXmvxB9x5L8Y+9ed1By+3a3\npy883I30Fb+2c+dOgoOD2bNnD48++ihhYWFqLydSkPz8M8yZ44rtuDi46SYYOtQNNStb1uvoCqzk\n5GReffVVJkyYQPny5YmKiuLhhx/2Oqw8La+0DBS5cmfOQP/+ru1fYiL8+9+uLZQKbr92+vRp+vTp\nw913382RI0eIjIxk6dKlKrhFCorvvnOt/sqXdwV28eKu+E5MdHczVXB7Zs2aNQQGBjJ+/Hi6d+/O\n/v37VXBngVa6xb9FRbkDkomJ8NxzMHIklCnjdVSSTUuXLqVXr14cOnSI7t27M2zYMErpAKxIwRAd\n7Va1581z2wSbN3fbBO+9V/u1PZaUlMSLL77IjBkzqFy5MuvXr6dhw4Zeh+U3tNIt/unIEXc6vWlT\nKFbMDbqZPl0Ft587dOgQLVu2pEWLFlx77bVs3ryZyZMnq+AWye8yMmDZMjee/c47YfFiN9jmP/+B\nJUugYUMV3B5btmwZ1apVIyIigv79+7N3714V3JdJRbf4l4wMV1xXreo6k4SGulUR/Y/v19LT05k0\naRJVq1Zl1apVjBgxgl27dlFPHWdE8rfkZDeevUoVt6L91VcwahQcPAgTJ0IBnVyYlxw/fpy2bdvS\nvHlzypYty7Zt2xg5ciTXaKLnZdP2EvEfBw64fX0bN0KjRjB1qk6s5wN79+4lODiY7du306RJE8LD\nw7lV+/FF8reDB91U4GnT4Icf4K67YP58aNVK3abyCGstCxYsoHfv3pw6dYrQ0FBeeuklihQp4nVo\nfivLK93GmAbGmGczP77eGFPJd2GJnCclBV57DWrVcoV3RASsW6eC28+dOXOGAQMGEBQUREJCAnPn\nziUqKkoFdw5RzpY8accOaNcOKlWC0aNdX+1Nm2DrVvjnP1Vw5xGHDx+mRYsWtG3blkqVKrF7924G\nDRqkgjubsrTSbYx5HagD3AG8A1wNvAfc47vQRHDFddeuEB8PHTrA2LFw/fVeRyXZtGrVKrp3705C\nQgKdO3dm1KhRlNF+/ByjnC15Snq6mw48bpy7U1myJPTu7X5V0s+CeYm1loiICJ5//nl++eUXRo8e\nTZ8+fTQTIYdkdaW7JdAcSAaw1h4GSvoqKBFOnICOHd0qSEYGrF7tWkWp4PZrR48epV27djzyyCMU\nKVKE9evXM2PGDBXcOU85W7z3449uamTlyvD4425S8LhxbmvJ2LEquPOYhIQEmjRpwnPPPUfNmjX5\n/PPPeeGFF1Rw56CsFt2pmSN/LYAx5k++C0kKNGth9mx3qGbuXBg4EPbtg8aNvY5MsiEjI4Pp06dT\npUoVFi9eTGhoqE6++5ZytngnMRGef9711+7bF26+2XUjiY+HPn3gz3/2OkI5T3p6OhMnTqR69eps\n3bqV8PBw1q1bR+XKlb0OLd/J6o8vC40xU4HSxpguQCdguu/CkgLpyy9di6g1a6B+fXdQMjDQ66gk\nm2JjYwkODmbjxo00atSIqVOncof24/uacrbkvi1b3Er24sWuvd8TT7iiu25dryOTi4iLi6Nz585s\n3ryZRx55hKlTp2oAmQ9lqei21o4xxjQGfsTtERxkrf3Yp5FJwZGaCmPGwJAhUKQIvP2228d9lTpa\n+rOUlBSGDRvGiBEjKFGiBBEREXTs2BGjXrs+p5wtuSYtzbVvHTsWtm2DUqXcKnfv3m6lW/Kks2fP\nMmbMGEJDQylevDizZ8+mQ4cOys8+ltWDlJWAz35N2saYa4wxFa21ib4MTgqATZtcgR0TA61bw4QJ\n7lak+LV169bRtWtX4uPj6dChA2+99RY33HCD12EVGMrZ4nOnTsGMGa6X9jffuH7akya5szglSngd\nnfyB6OhoOnXqxJ49e3j88ccJCwvjL3/5i9dhFQhZXUpcBGSc93l65jWRK5OU5LaSNGgAp0+7SWSL\nFqng9nMnTpygY8eOPPDAA2RkZLB69WrmzJmjgjv3KWeLb3z1FYSEQLly8MIL7jDk0qUQFwe9eqng\nzsN++eUXXn31VerWrcvhw4dZvHgxkZGRKrhzUVb3dBe21qb++om1NtUYo2aNcvmsdcV1SAgcOwb9\n+rmpkkrUfs1ay5w5c+jXrx+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jzJgxVKtWjfXr1zNu3Di2bt2qgluySjk7p5086UayV6wI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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x27da7903630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Income (x-axis)\n",
    "income = np.linspace(0,150)\n",
    "\n",
    "# Balance without interaction term (y-axis)\n",
    "student1 = np.linspace(regr1['Intercept']+regr1['Student2'],\n",
    "                       regr1['Intercept']+regr1['Student2']+150*regr1['Income'])\n",
    "non_student1 =  np.linspace(regr1['Intercept'], regr1['Intercept']+150*regr1['Income'])\n",
    "\n",
    "# Balance with iteraction term (y-axis)\n",
    "student2 = np.linspace(regr2['Intercept']+regr2['Student2'],\n",
    "                       regr2['Intercept']+regr2['Student2']+\n",
    "                       150*(regr2['Income']+regr2['Income:Student2']))\n",
    "non_student2 =  np.linspace(regr2['Intercept'], regr2['Intercept']+150*regr2['Income'])\n",
    "\n",
    "# Create plot\n",
    "fig, (ax1,ax2) = plt.subplots(1,2, figsize=(12,5))\n",
    "ax1.plot(income, student1, 'r', income, non_student1, 'k')\n",
    "ax2.plot(income, student2, 'r', income, non_student2, 'k')\n",
    "\n",
    "for ax in fig.axes:\n",
    "    ax.legend(['student', 'non-student'], loc=2)\n",
    "    ax.set_xlabel('Income')\n",
    "    ax.set_ylabel('Balance')\n",
    "    ax.set_ylim(ymax=1550)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
